Director of Analytics Syracuse University Main Campus Jamesville, New York, United States
Session Abstract: Discover how AI and NLP can revolutionize survey data analysis in higher education by automating labor-intensive tasks, enhancing consistency, and providing deep insights. This session will explore the use of LLMs to categorize, analyze sentiment, and extract key insights from institutional research survey responses. Attendees will learn how to leverage AI tools to reduce manual efforts, ensure reliable data interpretation, and present findings through intuitive visualizations. Topics will include AI and NLP in automating survey data analysis, including categorization, sentiment analysis, and insight extraction. The importance to attendees: Learn how AI can reduce manual effort, enhance consistency, and provide deeper insights for data-driven decision-making. Session objectives: Understand AI's role in transforming survey data analysis, implement LLMs effectively, and leverage visualization tools for presenting insights.
Keywords: survey analysis, AI, NLP, large language models, data automation
